Basketball plus minus minutes7/4/2023 Quantifying a player’s defensive abilities has always been one of the toughest areas within analytics. Let’s look at a simple example of how this sort of thing can be useful even for the casual observer: ESPN’s Real Plus-Minus, for instance, factors in both teammate and opponent context for each individual player, and also has an element of box score statistics involved – it’s among the more complex measures out there, and generally considered one of the more “accurate,” so far as such a term confirms what we already can glean about players. Rather than tracking what a player accomplishes individually, the idea is to determine what each individual player’s cumulative contribution has meant to what their team does while they’re on the floor.īeyond this, the details will depend on the model. The answer here will vary somewhat depending on which version we’re viewing, but the general goal remains to contextualize the effect a player has on his team and opponents while accounting for as many situations and player combinations as possible. There are also formats known as Statistical Plus-Minus, which include elements of standard box scores as well. They can also use longer stretches of prior games to “inform” the model (the process of setting a concrete statistical baseline with which to compare subsequent players). The statistician can control for such elements as coaching, opponent, time in between games and more. The most basic goal is to account for the other players on the floor when establishing a guy’s total, and this can be done by adjusting a number of different variables. There are a number of different well-known types of APM metrics, each of which uses slightly different techniques to reach their final output. This process, and the resulting outputs, are most commonly referred to as Adjusted Plus-Minus (APM). The results of such a simple statistic can often have tons of noise involved, however, and those in the statistical community have derived more advanced measures to help add detail and context. In its simplest form, plus-minus is exactly what it sounds like – when a given player is on the floor, be it for a single game, group of games or a season, does his team get outscored or does it outscore the opponent? This very simple metric is housed in most common single-game box scores, and is the rawest way of determining what sort of effect a player has on his team (and the opponent) while on the court. The term sounds simple enough, but what exactly is it? Let’s break it down in simple terms even the casual fan can understand. Growing in popularity within the analytics community over the last several years has been another metric: Plus-minus. We can go beyond simple measures like points, rebounds and assists to contextualize the game more effectively – from metrics like true shooting percentage that help track the value of shots to advances like SportVU data that help us dig into the granular level of every pass, shot and rebound. Modern basketball analysis contains a plethora of advanced statistics and metrics to help us better understand and parse what’s going on out there on the floor. For example, FGA will include all FGA while the player was on the floor, not just FGA by the given player.Please enable Javascript to watch this video All results are based on team and/or opponent stats while the player is on the floor. Results Tableĭata coverage: since 1996-97. Learn More.Īlready a subscriber? Log in for full results. Go inside the Reference database and access the sports search engine that was made for fans like you.
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